Overview

Dataset statistics

Number of variables5
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory43.3 B

Variable types

Categorical1
Text2
Numeric1
DateTime1

Dataset

Description제주특별자치도에서 관리하는 도내 악취배출시설과 관련한 데이터로 구분, 사업장명, 소재지, 부지면적 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056020/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-01-14 13:49:54.913931
Analysis finished2024-01-14 13:49:55.581803
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
악취관리지역
46 
악취관리지역 외
12 

Length

Max length8
Median length6
Mean length6.4137931
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row악취관리지역
2nd row악취관리지역
3rd row악취관리지역 외
4th row악취관리지역
5th row악취관리지역

Common Values

ValueCountFrequency (%)
악취관리지역 46
79.3%
악취관리지역 외 12
 
20.7%

Length

2024-01-14T22:49:55.665409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:49:55.775760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
악취관리지역 58
82.9%
외 12
 
17.1%

사업장명
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-14T22:49:56.012242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length6.1206897
Min length4

Characters and Unicode

Total characters355
Distinct characters104
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)93.1%

Sample

1st row피그랜드(일과) (전)홍도야지(일과)
2nd row제주한라축산
3rd row팜 CI
4th row새미농장
5th row별빛농장
ValueCountFrequency (%)
농업회사법인 3
 
4.2%
피그랜드 2
 
2.8%
대지지점 2
 
2.8%
은성농장 2
 
2.8%
유한회사 1
 
1.4%
태명축산 1
 
1.4%
제일농장 1
 
1.4%
주)에이티컨설팅 1
 
1.4%
피그랜드(일과 1
 
1.4%
전)홍도야지(일과 1
 
1.4%
Other values (57) 57
79.2%
2024-01-14T22:49:56.454803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 42
 
11.8%
장 35
 
9.9%
14
 
3.9%
축 12
 
3.4%
주 11
 
3.1%
산 11
 
3.1%
지 9
 
2.5%
( 9
 
2.5%
) 9
 
2.5%
제 9
 
2.5%
Other values (94) 194
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
89.6%
Space Separator 14
 
3.9%
Open Punctuation 9
 
2.5%
Close Punctuation 9
 
2.5%
Uppercase Letter 3
 
0.8%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 42
 
13.2%
장 35
 
11.0%
축 12
 
3.8%
주 11
 
3.5%
산 11
 
3.5%
지 9
 
2.8%
제 9
 
2.8%
법 6
 
1.9%
인 6
 
1.9%
사 6
 
1.9%
Other values (86) 171
53.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
I 1
33.3%
C 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
89.6%
Common 34
 
9.6%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 42
 
13.2%
장 35
 
11.0%
축 12
 
3.8%
주 11
 
3.5%
산 11
 
3.5%
지 9
 
2.8%
제 9
 
2.8%
법 6
 
1.9%
인 6
 
1.9%
사 6
 
1.9%
Other values (86) 171
53.8%
Common
ValueCountFrequency (%)
14
41.2%
( 9
26.5%
) 9
26.5%
2 1
 
2.9%
5 1
 
2.9%
Latin
ValueCountFrequency (%)
K 1
33.3%
I 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
89.6%
ASCII 37
 
10.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 42
 
13.2%
장 35
 
11.0%
축 12
 
3.8%
주 11
 
3.5%
산 11
 
3.5%
지 9
 
2.8%
제 9
 
2.8%
법 6
 
1.9%
인 6
 
1.9%
사 6
 
1.9%
Other values (86) 171
53.8%
ASCII
ValueCountFrequency (%)
14
37.8%
( 9
24.3%
) 9
24.3%
K 1
 
2.7%
2 1
 
2.7%
5 1
 
2.7%
I 1
 
2.7%
C 1
 
2.7%

소재지 (대표주소)
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-14T22:49:56.731857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length24.258621
Min length22

Characters and Unicode

Total characters1407
Distinct characters55
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)96.6%

Sample

1st row제주특별자치도 서귀포시 대정읍 동일리 1651
2nd row제주특별자치도 서귀포시 대정읍 동일리 1671
3rd row제주특별자치도 서귀포시 대정읍 동일리 219
4th row제주특별자치도 서귀포시 대정읍 동일리 239-1
5th row제주특별자치도 서귀포시 대정읍 동일리 241
ValueCountFrequency (%)
제주특별자치도 58
20.0%
제주시 43
14.8%
한림읍 33
11.4%
서귀포시 15
 
5.2%
대정읍 14
 
4.8%
동일리 13
 
4.5%
상명리 13
 
4.5%
금악리 11
 
3.8%
금능리 4
 
1.4%
한경면 4
 
1.4%
Other values (70) 82
28.3%
2024-01-14T22:49:57.181309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
16.5%
제 101
 
7.2%
주 101
 
7.2%
리 58
 
4.1%
특 58
 
4.1%
별 58
 
4.1%
자 58
 
4.1%
치 58
 
4.1%
도 58
 
4.1%
시 58
 
4.1%
Other values (45) 567
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 944
67.1%
Space Separator 232
 
16.5%
Decimal Number 208
 
14.8%
Dash Punctuation 23
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 101
 
10.7%
주 101
 
10.7%
리 58
 
6.1%
특 58
 
6.1%
별 58
 
6.1%
자 58
 
6.1%
치 58
 
6.1%
도 58
 
6.1%
시 58
 
6.1%
읍 54
 
5.7%
Other values (33) 282
29.9%
Decimal Number
ValueCountFrequency (%)
1 40
19.2%
3 26
12.5%
2 24
11.5%
6 22
10.6%
9 19
9.1%
4 19
9.1%
7 18
8.7%
8 17
8.2%
5 16
 
7.7%
0 7
 
3.4%
Space Separator
ValueCountFrequency (%)
232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 944
67.1%
Common 463
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 101
 
10.7%
주 101
 
10.7%
리 58
 
6.1%
특 58
 
6.1%
별 58
 
6.1%
자 58
 
6.1%
치 58
 
6.1%
도 58
 
6.1%
시 58
 
6.1%
읍 54
 
5.7%
Other values (33) 282
29.9%
Common
ValueCountFrequency (%)
232
50.1%
1 40
 
8.6%
3 26
 
5.6%
2 24
 
5.2%
- 23
 
5.0%
6 22
 
4.8%
9 19
 
4.1%
4 19
 
4.1%
7 18
 
3.9%
8 17
 
3.7%
Other values (2) 23
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 944
67.1%
ASCII 463
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
50.1%
1 40
 
8.6%
3 26
 
5.6%
2 24
 
5.2%
- 23
 
5.0%
6 22
 
4.8%
9 19
 
4.1%
4 19
 
4.1%
7 18
 
3.9%
8 17
 
3.7%
Other values (2) 23
 
5.0%
Hangul
ValueCountFrequency (%)
제 101
 
10.7%
주 101
 
10.7%
리 58
 
6.1%
특 58
 
6.1%
별 58
 
6.1%
자 58
 
6.1%
치 58
 
6.1%
도 58
 
6.1%
시 58
 
6.1%
읍 54
 
5.7%
Other values (33) 282
29.9%

부지면적(제곱미터)
Real number (ℝ)

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8418.8188
Minimum1178.5
Maximum54758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-14T22:49:57.349430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1178.5
5-th percentile1558.85
Q14057.5
median6827
Q310031.575
95-th percentile19470.17
Maximum54758
Range53579.5
Interquartile range (IQR)5974.075

Descriptive statistics

Standard deviation7931.4151
Coefficient of variation (CV)0.94210545
Kurtosis20.174587
Mean8418.8188
Median Absolute Deviation (MAD)3020.65
Skewness3.7789532
Sum488291.49
Variance62907345
MonotonicityNot monotonic
2024-01-14T22:49:57.551970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11879.0 2
 
3.4%
6827.0 2
 
3.4%
8355.0 2
 
3.4%
12474.0 1
 
1.7%
19467.2 1
 
1.7%
6618.0 1
 
1.7%
7545.0 1
 
1.7%
6490.0 1
 
1.7%
11527.0 1
 
1.7%
6612.0 1
 
1.7%
Other values (45) 45
77.6%
ValueCountFrequency (%)
1178.5 1
1.7%
1237.22 1
1.7%
1367.6 1
1.7%
1592.6 1
1.7%
1642.43 1
1.7%
1882.41 1
1.7%
1889.0 1
1.7%
1924.37 1
1.7%
2043.1 1
1.7%
2464.0 1
1.7%
ValueCountFrequency (%)
54758.0 1
1.7%
24084.61 1
1.7%
19487.0 1
1.7%
19467.2 1
1.7%
17858.66 1
1.7%
15086.0 1
1.7%
14298.0 1
1.7%
13225.0 1
1.7%
12474.0 1
1.7%
11879.0 2
3.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2019-07-19 00:00:00
Maximum2019-07-19 00:00:00
2024-01-14T22:49:57.702083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:49:57.819350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-14T22:49:55.263558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T22:49:57.921793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분사업장명소재지 (대표주소)부지면적(제곱미터)
구분1.0001.0001.0000.646
사업장명1.0001.0000.9921.000
소재지 (대표주소)1.0000.9921.0001.000
부지면적(제곱미터)0.6461.0001.0001.000
2024-01-14T22:49:58.044877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부지면적(제곱미터)구분
부지면적(제곱미터)1.0000.443
구분0.4431.000

Missing values

2024-01-14T22:49:55.396889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:49:55.537305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분사업장명소재지 (대표주소)부지면적(제곱미터)데이터기준일자
0악취관리지역피그랜드(일과) (전)홍도야지(일과)제주특별자치도 서귀포시 대정읍 동일리 165112474.02019-07-19
1악취관리지역제주한라축산제주특별자치도 서귀포시 대정읍 동일리 16718285.02019-07-19
2악취관리지역 외팜 CI제주특별자치도 서귀포시 대정읍 동일리 2192043.12019-07-19
3악취관리지역새미농장제주특별자치도 서귀포시 대정읍 동일리 239-13309.02019-07-19
4악취관리지역별빛농장제주특별자치도 서귀포시 대정읍 동일리 2412464.02019-07-19
5악취관리지역두리농장제주특별자치도 서귀포시 대정읍 동일리 242-44239.02019-07-19
6악취관리지역피그랜드 대지지점제주특별자치도 서귀포시 대정읍 동일리 2466827.02019-07-19
7악취관리지역성지농장제주특별자치도 서귀포시 대정읍 동일리 24911189.02019-07-19
8악취관리지역태근농장제주특별자치도 서귀포시 대정읍 동일리 2574524.02019-07-19
9악취관리지역돈돈축산제주특별자치도 서귀포시 대정읍 동일리 2585202.02019-07-19
구분사업장명소재지 (대표주소)부지면적(제곱미터)데이터기준일자
48악취관리지역은성농장제주특별자치도 제주시 한림읍 상명리 1890-18355.02019-07-19
49악취관리지역보람농장제주특별자치도 제주시 한림읍 상명리 18956637.82019-07-19
50악취관리지역농업회사법인(주) 바오제주특별자치도 제주시 한림읍 상명리 1899-19281.72019-07-19
51악취관리지역에스엠축산제주특별자치도 제주시 한림읍 상명리 6639889.32019-07-19
52악취관리지역청아농장제주특별자치도 제주시 한림읍 상명리 6737564.02019-07-19
53악취관리지역은창농장제주특별자치도 제주시 한림읍 상명리 6874823.02019-07-19
54악취관리지역창이농장제주특별자치도 제주시 한림읍 상명리 7026935.02019-07-19
55악취관리지역길정농장제주특별자치도 제주시 한림읍 상명리 7538489.02019-07-19
56악취관리지역상일농장제주특별자치도 제주시 한림읍 상명리 7543997.02019-07-19
57악취관리지역농업회사법인 유한회사 한솔제주특별자치도 제주시 한림읍 상명리 761-16856.52019-07-19